csvkit is a library of utilities for working with CSV, the king of tabular file formats.
It is inspired by pdftk, gdal and the original csvcut utility by Joe Germuska and Aaron Bycoffe.
csvkit is to tabular data what the standard Unix text processing suite (grep, sed, cut, sort) is to text. As such, csvkit adheres to the Unix philosophy.
As there is no formally defined CSV format, csvkit encourages well-known formatting standards:
pip install csvkit
git clone git://github.com/onyxfish/csvkit.git cd csvkit mkvirtualenv --no-site-packages csvkit pip install -r requirements.txt nosetests
The csvkit tutorial walks through processing and analyzing a real dataset from data.gov. It is divided into several parts for easier reading:
csvkit is comprised of a number of individual command line utilities that be loosely divided into a few major categories: Input, Processing, and Output. Documentation and examples for each utility are described on the following pages.
Output (and Analysis)
Documentation on how to use csvkit as a library is coming soon...
Want to hack on csvkit? Here’s how:
The MIT License
Copyright (c) 2011 Christopher Groskopf and contributers
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